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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the word "Grace" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    references to the television show "Will and Grace."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ickr
    -0.82
    crim
    -0.73
    abol
    -0.72
    hran
    -0.67
    actic
    -0.66
    roit
    -0.65
    onut
    -0.63
    uggets
    -0.62
    hire
    -0.62
    rd
    -0.62
    POSITIVE LOGITS
    ful
    1.07
    fully
    1.05
    fulness
    0.90
     Grace
    0.85
    ibility
    0.84
    bread
    0.76
    lyn
    0.74
    vale
    0.72
    eous
    0.70
    hurst
    0.70
    Activations Density 0.012%

    No Known Activations